Basic Analysis > Distributions > The Distribution Report > The Summary Statistics Report
Publication date: 08/13/2020

The Summary Statistics Report

For continuous variables, the Summary Statistics report displays the mean, standard deviation, and other summary statistics. You can control which statistics appear in this report by selecting Customize Summary Statistics from the red triangle menu next to Summary Statistics.

Tip: You can specify which summary statistics show in the report each time you run a Distribution analysis for a continuous variable. Select File > Preferences > Platforms > Distribution Summary Statistics, and select the ones that you want to appear.

Description of the Summary Statistics Report describes the statistics that appear by default.

Additional Summary Statistics describes additional statistics that you can add to the report using the Customize Summary Statistics window.

Description of the Summary Statistics Report


Estimates the expected value of the underlying distribution for the response variable, which is the arithmetic average of the column’s values. It is the sum of the nonmissing values divided by the number of nonmissing values.

Std Dev

The normal distribution is mainly defined by the mean and standard deviation. These parameters provide an easy way to summarize data as the sample becomes large:

68% of the values are within one standard deviation of the mean

95% of the values are within two standard deviations of the mean

99.7% of the values are within three standard deviations of the mean

Std Err Mean

The standard error of the mean, which estimates the standard deviation of the distribution of the mean.

Upper and Lower Mean Confidence Limits

The 95% confidence limits about the mean. They define an interval that is very likely to contain the true population mean.


The total number of nonmissing values.

Additional Summary Statistics

Sum Weight

The sum of a column assigned to the role of Weight (in the launch window). Sum Wgt is used in the denominator for computations of the mean instead of N.


The sum of the response values.


The sample variance, and the square of the sample standard deviation.


Measures sidedness or symmetry.


Measures peakedness or heaviness of tails. See Kurtosis for formula details.


The percent coefficient of variation. It is computed as the standard deviation divided by the mean and multiplied by 100. The coefficient of variation can be used to assess relative variation. For example, it can be used when comparing the variation in data measured in different units or with different magnitudes.

N Missing

The number of missing observations.

N Zero

The number of zero values.

N Unique

The number of unique values.

Uncorrected SS

The uncorrected sum of squares or sum of values squared.

Corrected SS

The corrected sum of squares or sum of squares of deviations from the mean.


(Appears only if you have not specified a Frequency variable.) First autocorrelation that tests if the residuals are correlated across the rows. This test helps detect non-randomness in the data.


Represents the 0 percentile of the data.


Represents the 100 percentile of the data.


Represents the 50th percentile of the data.


The value that occurs most often in the data. If there are multiple modes, the smallest mode appears.

Trimmed Mean

The mean calculated after removing the smallest p% and the largest p% of the data. The value of p is entered in the Enter trimmed mean percent text box at the bottom of the window. The Trimmed Mean option is not available if you have specified a Weight variable.

Geometric Mean

The nth root of the product of the data. For example, geometric means are often used to calculate interest rates. The statistic is also helpful when the data contains a large value in a skewed distribution.

Note: Negative values result in missing numbers, and zero values (with no negative values) result in zero.


The difference between the maximum and minimum of the data.

Interquartile Range

The difference between the 3rd and 1st quartiles.

Median Absolute Deviation

(Does not appear if you have specified a Weight variable.) The median of the absolute deviations from the median.

Proportion Zero

The proportion of nonmissing values that are equal to zero.

Proportion Nonzero

The proportion of nonmissing values that are not equal to zero.

Robust Mean

The robust mean, calculated in a way that is resistant to outliers, using Huber's M-estimation. See Huber and Ronchetti (2009).

Robust Std Dev

The robust standard deviation, calculated in a way that is resistant to outliers, using Huber's M-estimation. See Huber and Ronchetti (2009).

Enter (1-alpha) for mean confidence interval

Specify the alpha level for the mean confidence interval.

Enter trimmed mean percent

Specify the trimmed mean percentage. The percentage is trimmed off each side of the data.

Summary Statistics Options

The red triangle menu next to Summary Statistics contains these options:

Customize Summary Statistics

Select which statistics you want to appear from the list. You can select or deselect all summary statistics.

Show All Modes

Shows all of the modes if there are multiple modes.

For statistical details, see Summary Statistics.

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